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Two neural network models of human prehension are reviewed. The first model simulates coordination of the reach and grasp components of prehension. Simulations of this model produce realistic timing of the velocity peaks of reach and grasp; realistic scaling of peak grasp size with reach velocity and target grasp size; and realistic adaptation of reach and grasp to perturbations of initial grasp size,...
The modeling of joints on human limbs involves complexities due to the presence of articular cartilage at the synovial joint interface between mating bones, and the geometries involved. In this work, a simple yet innovative model for such a joint which can still capture most of the behavior of the bone joint system is presented. The model is applied to a ball and socket joint system with soft cartilage...
The presented works are a part of the realization of an automobile accessibility movement simulator. The aim of this paper is to propose an optimization step of the kinematic model representing the human body. This model is made of two rigid bodies representing the trunk (torso and pelvis) and 4 simple open kinematics chains, in a star-shaped topology, with 7 degrees of freedom constituting the arms...
In this paper we analyze the robust stabilization of posture in a single-link biomechanical model with force feedback, dual position and velocity feedback, and with delays in all the three feedback loops. The model is physiologically motivated and represents gross approximation of the human neuromusculoskeletal system in the sagittal plane. The feedback paths in the model represent proprioceptive...
In this paper a neuro-musculo-skeletal system for human leg cycling movements is constructed based on the neural oscillator theory. Neural oscillator is derived from the center pattern generator (CPG) existing in the biological nervous system
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